Databricks Front End Developer

ARK Solutions, Inc.
Washington, DC, United States
6 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Business Analytics Applications Web Development Design of User Interfaces Human-Computer Interaction Power BI Server Administration Software Engineering SQL Databases Web Applications
+9 more
Web Application Frameworks ReactJS Flask (Web Framework) Backend Data Lakes Front End Software Development Streamlit Framework User Administration Databricks

Job description

Seeking for a skilled Databricks Front End Developer to create user interfaces within the Databricks platform using Databricks Apps and PowerBI dashboards. Collaborate with Data Engineers and AI/ML Engineers to connect their outputs to custom front ends using web app frameworks., * Build PowerBI reports and dashboards sourced from Databricks SQL warehouses.

  • Develop Databricks Apps front-ends using Flask, Streamlit, JavaScript, or React.
  • Write and optimize Databricks SQL against Delta tables to support reporting and application back-ends.

Requirements

  • Hands-on experience delivering BI dashboards and/or data application front-ends in production.
  • Working knowledge of Databricks SQL against Delta Lake tables.
  • Experience building Databricks Apps or comparable lightweight data applications using at least two of: Flask, Streamlit, JavaScript, React.
  • Working knowledge of web design principles, including experience building web applications including front and back-end API layers., Application Programming Interface (API), Artificial Intelligence (AI), Business Intelligence, Internet Application, Power BI, React.js, Reporting Dashboards, SQL (Structured Query Language), Software Administration, Software Development, User Interface/Experience (UI/UX), Warehousing, Web Application Framework, Web Design

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:05 min

Enhancing Databricks tooling for software engineering workflows

Alan Mazankiewicz · LIVE

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

1:21 min

Exploring the target application for front end tests

Anna Mcdougall · JS Congress

2:32 min

Refactoring bulk frontend operations into scalable backend methods

Noam Honig · LIVE

2:38 min

Overview of Databricks and interactive data processing

Alan Mazankiewicz · LIVE

3:48 min

Standardizing data access schemas with OData

Florian Bader Florian Bader · World Congress 2026 Europe

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